تجزیه و تحلیل بیوانفورماتیکی اثر آفت کش زیستی باسیلوس تورنجینسیس به عنوان جایگزینی برای مواد شیمیایی
Bioinformatics Analysis of Bacillus thuringiensis biopesticide effect as an alternative of chemicals
نویسندگان :
لیلا درزیان رستمی ( دانشگاه آزاد اسلامی تهران واحد علوم پرشکی ) , بهنام راسخ ( پژوهشگاه صنعت نفت ایران ) , فهیمه نعمتی ( دانشگاه آزاد اسلامی تهران واحد علوم پرشکی ) , علیرضا نظرعلیزاده زیده سرایی ( دانشگاه گیلان- دانشکده علوم پایه )
چکیده
Pests are an essential factor in disrupting the production of agricultural products on farms, which leads to the loss of about 20 to 30 percent of agricultural products. Humans use chemical pesticides to increase agricultural production. It is important to note that these toxins enter the human food chain through animals and plants themselves and have many effects on human and animal health and thus environmental degradation. Biological control aimed at pest management can significantly affect biodiversity conservation, ecosystem stability, and food health. Bacillus thuringiensis (Bt) is the most well-known environmental pesticide. This study aimed to investigate the bioinformatics of 6 strains of Bacillus thuringiensis isolated from the soil as a pesticide on termite insects and compare their pesticide properties using R programming software. In this study, 60 soil samples were collected from southern Iran and by four different methods: 1- dry heat pretreatment method, 2- heat shock method, 3- sodium acetate selection method, and Bt separation using M9 medium with L-serine, Bt bacteria were isolated and identified. The DNA extraction and PCR products were analyzed by Chromas Pro v2.1.9 software and identified from the NCBI database using the BLAST tool. Collection, pest transfer, preparation of bacterial suspension with different concentrations, and finally, bioassay was performed. Statistical analysis of termite mortality relative to the bacterial concentration draw LC50 diagrams using Rv4.5 and SPSS Statistics 27.0.1.0 and Microsoft Office Excel 2010 x86. The pesticide properties of each bacterium were investigated separately on the insect. In order to interpret the bioassay results on the pest, LC50 was calculated for six strains of bacteria. Statistical analysis of termite mortality relative to bacterial concentrations over different periods was analyzed using SPSS Statistics 27.0.1.0 and Microsoft Office Excel 2010 x86 software, drawn using Rv4.5 software. According to the analysis performed using R software, the results showed that the toxicity of strains against termite pest was reported in the following order: strain 3کليدواژه ها
R program, Bacillus thuringiensis, Bioinformatics, Termite, Biological Controlکد مقاله / لینک ثابت به این مقاله
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